Iris Recognition System Using Ridge Energy Direction

The first and most popular iris recognition algorithm was introduced by pioneer Dr. J. Daugman which is not available for open use, so an alternative for research purposes can be found in the implementation created by Ives et al. to perform iris recognition, referred as Ridge Energy Direction (RED) algorithm that will be the focus of this work. The first step is to collect the database of iris, than carry out the various preprocessing steps which includes conversion of color image to gray scale image, histogram equalization, intensity adjustment and segmentation i.e. separation of pupil from the image and select the area of interest. Features are extracted from the area of interest using two directional filters (i.e. vertically and horizontally oriented) which generates two individual templates. The final template is generated by comparing the results of two different directional filters and writing a single bit that represents the filter with the highest output at the equivalent location. This final template is compared with the stored one using Hamming distance. If the template is match with the stored one than the match ID number of the person is displayed and non-match image is indicated by displaying zero.